Audit of projects generated by AI
Quickly generated code from language models is a great start. We make sure it is secure, maintainable and ready for production traffic and real users.
From a quick AI prototype to a full-fledged application
AI tools have made development incredibly fast. Building a working prototype or an MVP (Minimum Viable Product) now takes a fraction of the time it used to.
The code itself is usually decent. What a quickly assembled project typically lacks is the view of the whole — tests, handling of edge cases and the certainty that the application will survive production traffic. Before you build your business on such a foundation, you need the eyes of experienced engineers.
Our team reviews your code and puts it on solid foundations.
What exactly do we audit?
How the whole fits together
Individual pieces of code are usually fine these days. The problem is the whole — an application assembled piece by piece solves the same thing differently in several places. We go through it as one system and align it so that any developer can find their way around.
Security and vulnerabilities
AI models sometimes overlook basic security standards. We review the security setup, check input handling and make sure your sensitive data and your clients' data are not at risk.
Performance and scalability
What works on a local machine for a single user may not survive production load. We uncover inefficient processes and design cloud infrastructure ready for your project to grow.
Licences and copyright
Code generators may pull in third-party libraries that clash with open-source licences. We audit your dependencies so you avoid legal problems later.
The specifics of LLM integration
Prompt injection, leaks of company data, unexpected API costs, wrong model answers or missing tests. Risks specific to AI that ordinary code review often misses, yet they can fundamentally affect the security, cost and reliability of the application.
How the audit works
Consultation and technology check
We go through the goal of the project, the technologies used and the scope. We need access to the repository and a brief description of what the application should do.
Static analysis and manual review
Automated tools reveal the obvious flaws, then senior developers go through the architecture, logic and security by hand.
Report with prioritised findings
Every finding gets a severity and an effort estimate. You know what must be fixed right away and what can wait.
Fix plan or taking over the development
We propose how to put things right. If you want, we carry out the fixes ourselves and take the application all the way to production.
What you actually get
Report with prioritised findings
A list of findings grouped by severity, with an effort estimate for the fixes.
Security overview
The specific vulnerabilities, their impact and the recommended way to fix them.
Target architecture proposal
How to restructure the code so it can carry growth and more developers.
Dependency and licence check
An overview of third-party libraries and the risks their licences bring.
Fix plan in steps
What to fix now, what in the next iteration and what is not worth solving.
Presentation of the results to your team
A walkthrough of the report in person — not a PDF thrown into an inbox.
Built an application with AI? We will put it into production
More and more people come to us with an application they built themselves with AI. It works on their own computer, but getting it to real users is an entirely different discipline. We will do that last mile for you — you don't have to rewrite anything or start over.
Running it on a server
We pick the hosting, deploy the application and set up the domain and a secure connection.
Database and backups
We store your data safely and set up regular backups so nothing gets lost.
Accounts and sign-in
We add registration, sign-in and user permissions if the application is missing them.
Payments and connections to the rest
We connect a payment gateway, e-mails or the systems you already use in the company.
Maintenance and further development
We keep an eye on the application. When something breaks, we know about it before your customers do.
Why have us run the audit?
23 years of experience
We are not just AI enthusiasts. We are a senior software house that has been building large applications since 2003 — for Hyundai or Modrý anděl, to name a few.
We don't stop at the report
You won't just get a PDF listing the flaws. We propose a concrete fix plan and, if you want, we take over the development and finish the application.
Agile and straight-talking
We are straight with you. If the generated foundation is bad enough that rewriting it from scratch pays off, we will tell you. And if the project runs on a technology we don't work with, we will admit it right away. We care about your long-term success, not a quick patch.
Frequently Asked Questions questions
Find out what shape your code is in
Write to us and let's arrange a free consultation about your AI project.